Flood Mapping Using Multi-Source Remotely Sensed Data and Logistic Regression in the Heterogeneous Mountainous Regions in North Korea J Lim, K Lee Remote Sensing 10 (7), 1036, 2018 | 51 | 2018 |
Tree species classification using hyperion and sentinel-2 data with machine learning in South Korea and China J Lim, KM Kim, R Jin ISPRS International Journal of Geo-Information 8 (3), 150, 2019 | 47 | 2019 |
Investigating flood susceptible areas in inaccessible regions using remote sensing and geographic information systems J Lim, K Lee Environmental monitoring and assessment 189, 1-13, 2017 | 25 | 2017 |
Machine learning for tree species classification using sentinel-2 spectral information, crown texture, and environmental variables J Lim, KM Kim, EH Kim, R Jin Remote Sensing 12 (12), 2049, 2020 | 22 | 2020 |
Investigation of drought-vulnerable regions in North Korea using remote sensing and cloud computing climate data J Yu, J Lim, KS Lee Environmental Monitoring and Assessment 190 (3), 126, 2018 | 19 | 2018 |
Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager SC Jeong, YR Ryu, B Dechant, X Li, JW Kong, WS Choi, MS Kang, ... Remote Sensing of Environment 284, 2022 | 14 | 2022 |
Trend analysis of North Korean forest science research (1962-2016) by data mining J Lim, KM Kim, MK Kim, JM Yi, JW Park Journal of Korean Society of Forest Science 109 (1), 81-98, 2020 | 11* | 2020 |
Comparison of thermal effects of different school ground surface materials-Case of Yooljeon Elementary School- J Lim, J Yu, JY Lee, KS Lee Journal of the Korean Association of Geographic Information Studies 18 (2 …, 2015 | 10 | 2015 |
Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term … J Kong, Y Ryu, S Jeong, Z Zhong, W Choi, J Kim, K Lee, J Lim, K Jang, ... ISPRS Journal of Photogrammetry and Remote Sensing 200, 1-23, 2023 | 9 | 2023 |
A study on pre-evaluation of tree species classification possibility of CAS500-4 using RapidEye satellite imageries SK Kwon, KM Kim, J Lim Korean Journal of Remote Sensing 37 (2), 291-304, 2021 | 9* | 2021 |
The Development of Major Tree Species Classification Model using Different Satellite Images and Machine Learning in Gwangneung Area J Lim, KM Kim, MK Kim Korean Journal of Remote Sensing 35 (6), 1037-1052, 2019 | 7* | 2019 |
Calibration of BRDF based on the field goniometer system using a UAV multispectral camera M Kim, C Jin, S Lee, KM Kim, J Lim, C Choi Sensors 22 (19), 7476, 2022 | 6 | 2022 |
Spatial and temporal characteristics of tropical nights in Seoul H Zheng, J Yu, J Lim, K Lee Environmental Monitoring and Assessment 192, 1-12, 2020 | 6 | 2020 |
Application of deep learning algorithm for estimating stand volume in South Korea S Cha, HW Jo, M Kim, C Song, H Lee, E Park, J Lim, D Schepaschenko, ... Journal of Applied Remote Sensing 16 (2), 024503-024503, 2022 | 4 | 2022 |
Does deforestation trigger severe flood damage at Hoeryeong City in North Korea? J Lim, KM Kim, KS Lee Forests 10 (9), 789, 2019 | 4 | 2019 |
Practical LAI Estimation with DHP Images in Complex Forest Structure with Rugged Terrain J Lee, S Cha, J Lim, J Chun, K Jang Forests 14 (10), 2047, 2023 | 3 | 2023 |
Analysis on the fire progression and severity variation of the massive forest fire occurred in Uljin, Korea, 2022 S Baek, J Lim, W Kim Forests 13 (12), 2185, 2022 | 3 | 2022 |
The Analysis of Changes in Forest Status and Deforestation of North Korea's DMZ Using RapidEye Satellite Imagery and Google Earth S KWON, E KIM, J LIM, AR YANG Journal of the Korean Association of Geographic Information Studies 24 (4 …, 2021 | 3 | 2021 |
Unveiling the Past: Deep-Learning-Based Estimation of Historical Peatland Distribution S Cha, J Lee, E Choi, J Lim Land 13 (3), 328, 2024 | 2 | 2024 |
Deepening the Accuracy of Tree Species Classification: A Deep Learning-Based Methodology S Cha, J Lim, K Kim, J Yim, WK Lee Forests 14 (8), 1602, 2023 | 2 | 2023 |